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on our server. Responses <strong>in</strong> the database are subsequently tagged with feedback that is sent back to the<br />

browser for students to pr<strong>in</strong>t out.<br />

The second function of SMART WWWeb is to collect, organize and display the data collected from<br />

the distributed classrooms. Data displays are automatically up-dated as new data are submitted to the database<br />

by students. We call this section, SMART Lab. The data <strong>in</strong> SMART Lab consist of students’ answers to<br />

problems and explanations for their answers. Each class' data are displayed separately from the distributed<br />

classroom's data. This feature enables the teacher and her/his class to discuss different solution strategies, and<br />

<strong>in</strong> the process, address important concepts and misconceptions. These discussions provide a rich source of<br />

<strong>in</strong><strong>format</strong>ion for the teacher on how her/his students are th<strong>in</strong>k<strong>in</strong>g about a problem, and are designed to<br />

stimulate student reflection as well.<br />

The third section of SMART WWWeb is Kids Onl<strong>in</strong>e. Kids Onl<strong>in</strong>e consists of explanations by<br />

student-actors. The explanations are text-based with audio narration. Still pictures of the presenters are also<br />

available. The explanations are errorful by design. Students are asked to critically evaluate the explanations,<br />

and provide feedback to the student-actor. By <strong>in</strong>clud<strong>in</strong>g errors we are able to seed th<strong>in</strong>k<strong>in</strong>g and discussion on<br />

concepts that are frequently misconceived by students. At the same time, students learn important critical<br />

evaluation skills.<br />

AN EXAMPLE FROM SCIENCE<br />

Our current work on SMART is focused around a video anchor on CD-ROM entitled, “Stones River<br />

Mystery” (hereafter SRM). SRM is an episode <strong>in</strong> the series "Scientists <strong>in</strong> Action" developed by Bob Sherwood<br />

and his colleagues at Vanderbilt [Sherwood, Petros<strong>in</strong>o, L<strong>in</strong>, Lamon, & Cognition and Technology Group at<br />

Vanderbilt 1995]. SRM tells the story of a group of high school students who, <strong>in</strong> collaboration with a biologist<br />

and hydrologist, are monitor<strong>in</strong>g the water <strong>in</strong> Stones River. The video shows the team visit<strong>in</strong>g the river and<br />

conduct<strong>in</strong>g various water quality tests. (In our work we focus on benthic macro<strong>in</strong>vertebrate sampl<strong>in</strong>g and<br />

dissolved oxygen test<strong>in</strong>g.) Students <strong>in</strong> the classroom are asked to assess the water quality at a second site on<br />

the river. They are challenged to select tools that they can use to sample macro<strong>in</strong>vertebrates and test dissolved<br />

oxygen, to conduct these tests, and to <strong>in</strong>terpret the data relative to previous data from the same site.<br />

When students beg<strong>in</strong> work<strong>in</strong>g on macro<strong>in</strong>vertebrates, they are given a catalog of sampl<strong>in</strong>g<br />

tools/<strong>in</strong>struments. Many of these are "bogus" and collect the wrong k<strong>in</strong>d of sample; others are “legitimate” and<br />

will gather a representative sample of macro<strong>in</strong>vertebrates. The catalog items are specially designed to <strong>in</strong>clude<br />

contast<strong>in</strong>g cases that help students discover the need to know certa<strong>in</strong> k<strong>in</strong>ds of <strong>in</strong><strong>format</strong>ion. For example, to use<br />

macro<strong>in</strong>vertebrates as <strong>in</strong>dicators of water quality, one needs to collect a sample that represents the river’s<br />

biodiversity, and as such, all types present need to be sampled. The follow<strong>in</strong>g is the actual description of one<br />

of the items <strong>in</strong> the catalog, the TetraBen Laser Counter:<br />

"Know<strong>in</strong>g the number of macro<strong>in</strong>vertebrates <strong>in</strong> your water is an important way to<br />

determ<strong>in</strong>e the health of your river. Collect<strong>in</strong>g and count<strong>in</strong>g these organisms can be a<br />

slow, tedious process. Modern science has revolutionized this process. The TetraBen<br />

Laser Counter lets you count macro<strong>in</strong>vertebrates without gett<strong>in</strong>g your hands wet!<br />

Simply scan the laser beam slowly over the water. The laser beam automatically<br />

counts the macro<strong>in</strong>vertebrates, and shows the total number on a built-<strong>in</strong> screen. The<br />

laser is completely waterproof and won't harm anyth<strong>in</strong>g, liv<strong>in</strong>g or non-liv<strong>in</strong>g (and<br />

that <strong>in</strong>cludes macro<strong>in</strong>vertebrates and humans!) Simple, safe, and completely<br />

accurate!"<br />

This is an example of an item that would collect the wrong k<strong>in</strong>d of <strong>in</strong><strong>format</strong>ion; it counts the<br />

macro<strong>in</strong>vertebrates and ignores <strong>in</strong><strong>format</strong>ion about the types of macro<strong>in</strong>vertebrates <strong>in</strong> the sample.<br />

Students are asked to choose and justify their choice of tool. To help them make their choices, they are<br />

provided with resources, some of which are on-l<strong>in</strong>e, that they can use to f<strong>in</strong>d out about river ecosystems,<br />

macro<strong>in</strong>vertebrates, and water quality monitor<strong>in</strong>g. Once students have made an <strong>in</strong>itial set of choices, they use<br />

SMART WWWeb. They enter their catalog choices (yes or no), and select justifications for their choices (why<br />

or why not choose that catalog tool). Figure 1. shows a portion of the <strong>in</strong>ternet "order form."

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